hyperspectral-images_pca

最优分割的基本思路是给定一个数据序列和分层数，通过搜索所有可能的划分方案，找到段内离差平方和的总和最小的一种方案作为最终划分方案。这里给出最优分割法的Matlab源程序(The basic idea is optimal partition for a given data sequence and hierarchical number divided by searching all possible solutions to find the segment and the sum of the squared deviations smallest division of a scheme as a final solution. This gives the optimal segmentation Matlab source)

说明：  Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value) of each column and row. Then get each row and column that has the maximum number of these black pixels. Then determine the center by simple calculation according to the image coordinate to set it correct on the image, consequently we can determine the radius of the pupil. Thus we can find the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms of circle and ellipse.

关于prony一个分析电力系统谐波检测程序，准确分析暂态信号中的幅值 相位 频率(prony algorithm for power system harmonic estimation)

自动滚动demo，IOS编程学习源码，很好的参考资料。(Automatic scrolling demo, IOS programming learning source, a good reference.)

多普勒滤波器的具体实现方式和最优滤波器与加权滤波器的设计，资料十分齐全，与利于对动目标显示的具体深入理解。(all kinds of MTD filter design)

对于扩散反应方程的格子boltzmann仿真实验 我们要达到解决反应项的问题(Diffusion-reaction equation for the lattice boltzmann simulation experiment we want to solve the problem of response)

一种简单的灰色预测实现的方法，data为需要输入的一维数组，N为需要预测的值的个数(Gm(1,1) matlab code ,input array data,input number N return array with N prediction value.)

p pi and pid control which is very important to control strategy .

Transmission Line Short Circuit Faults using MATLAB and PowerWorld, and Overloading of Transmission Lines using PowerWorld

一个不错的风力机模型，能够很好的反应风力发电机的输出特性曲线，不是matlab内部自带的demo文件(A good wind turbine model, wind turbines can be a very good response to the output characteristic curve, is not within the built-in demo file matlab)